TechNow has been involved in enterprise client server architectures since 1990. TechNow has delivered national and international implementations for Valero, Wholefoods, Quest, USAA, Golfsmith, AMD, Motorola, and many other fortune 1000 corporations,
TechNow's training program has followed the evolution of enterprise computing into virtualization and cloud computing. With a focus on security, TechNow can present the ramifications of many centralized strategies. All courses utilize enterprise instructors with experience and can discuss the detail of implementation and the integration into an existing infrastructure.
TechNow Cloud Security Fundamentals addresses the loss of hands-on control of system, application, and data security in the Cloud computing environment. Security teams wrestle with the impact and liability of Cloud computing on an organization. This course enables the security team to assist in contract language and Service Level Agreements (SLAs) when utilizing Cloud Service Providers (CSPs).
Compliance and auditing are introduced with strategies for control verification and audit analysis in the CSP environment. Software as a Service (SaaS) to Infrastructure as a Service (IaaS) and everything in between require a compliance strategy. Students will go in-depth into the architecture and infrastructure fundamentals for private, public, and hybrid clouds. Topics covered include: patch and configuration management, virtualization security, application security, and change management. Policy, risk assessment, and governance within cloud environments will be covered with recommendations for both internal policies and contract provisions to consider.
TechNow has worked worldwide enterprise infrastructures for over 20 years and has developed demos and labs to exemplify the techniques required to effectively manage security in the cloud environment.
Attendees to TN-913: Cloud Security Fundamentals will receive TechNow approved course materials and expert instruction.
This class uses a sample product development initiative to illustrate the course principles. If you need to learn what is required to lead or participate in an Agile effort using the SCRUM approach within your organization, this course will cover the Agile adaptive life cycle framework and all of the ceremonies, artifacts, and roles.
Attendees to PM-222: Agile Principles using will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 2 Days
Course Objectives: At the conclusion of this course, students will be able to:
Compare the Agile (adaptive) and Plan Driven (predictive/ waterfall) approaches
Understand the Agile Manifesto and SCRUM Framework
Apply the basics of Agile / SCRUM Team Organization, with importance of the Development Team responsibilities
Use Agile / SCRUM chartering, high-level estimating, and prioritization techniques to initiate a Product Roadmap and a Product Backlog
Create personas and user stories to lead to Development Team task assignments
Understand Release and Sprint Planning to lead to the Sprint Backlog
Plan and conduct a sample SCRUM Sprint from the Vision Statement through the Sprint retrospective
Target Student:
Designed specifically for Agile project team members, product owners, project leaders and senior managers or anyone wanting to understand the Agile Framework.
This course provides students with the knowledge and skills to implement a Microsoft SQL Server database. The course focuses on teaching individuals how to use SQL Server product features and tools related to implementing a database.
Attendees to MS-6232: Implementing a Microsoft SQL Server Database will receive TechNow approved course materials and expert instruction.
Dates/Locations:
No Events
Duration: 5 Days
Course Objectives:
Creating Databases and Databases Files
Creating Data Types and Tables
Creating and Tuning Indexes
Implementing Data Integrity by Using Constraints and Triggers
Using XML
Implementing Views
Implementing Stored Procedures
Implementing Functions
Implementing Managed Code in the Database
Managing Transactions and Locks
Using Service Broker
Prerequisites:
Basic knowledge of the Microsoft Windows operating system and its core functionality
Working knowledge of Transact-SQL
Working knowledge of relational databases
Some experience with database design
Comments
Latest comments from students
User: bangbangsplat
Instructor comments: some kind of presentation would have been helpful in learning the objectives of the course (PowerPoint, drawing on easel, etc.) It seemed like the instructor is not too familiar with the error codes we were receiving during the Practice Exams.
Facilities comments: preferred to have the location located in a less busy area of the city
User: smaxam
Instructor comments: Clay was very knowledgable but had to repeat questions a number of times to get his attention.
Certified AI Program Manager (CAIPM) is EC-Council’s professional certification for people responsible for owning AI decisions and driving execution: business, technology, data, and risk.
The Certified AI Program Manager (CAIPM) Course equips you with hands-on expertise across the full spectrum of AI tools, from conversational AI and image generation to code assistants and audio synthesis.
Participants will learn how to evaluate, deploy, and integrate AI tools into enterprise workflows, understanding not just how they work, but how to leverage them for maximum business impact. This course covers how to assess AI readiness across teams and processes, Prioritize AI use cases tied to business outcomes, Design adoption and rollout roadmaps , Coordinate delivery across cross-functional teams, implement governance, Responsible AI, and security controls , and how to track performance and ROI to prove value
By the end of the course, learners will be well-prepared to take the Certified AI Program Manager (CAIPM) exam and demonstrate the ability to own AI initiatives end to end , validate mastery of decision framing and trade-off analysis for AI initiatives and Apply governance, ethics, and risk management principles across the AI lifecycle.
Course Objectives:
•MLOps Principles: Model life cycle management for scalable, production-ready AI •Use Case Evaluation: ROI-driven assessment and prioritization of AI initiatives •AI Strategy Frameworks: Enterprise AI roadmapping, portfolio planning, and value prioritization •AI Investment Justification: Quantifying AI value, ROI, and mission impact for funding decisions •Change Management: Workforce enablement and stakeholder alignment •KPI Development: AI metrics, success indicators, and executive dashboards •AI Governance: Risk, ethics, compliance, and responsible AI principles •Vendor Evaluation: AI platform and tool selection aligned with enterprise needs
Dates/Locations:
No Events
Prerequisites:Familiarity with generative AI concepts, prompt engineering fundamentals, and AI workflows will help you succeed.
